<html><head><title>Consulting Data Analyst - Epidemiology, Bio-statistics, R, SAS, SQL - Oakland, CA</title></head>
<body><h2>Consulting Data Analyst - Epidemiology, Bio-statistics, R, SAS, SQL - Oakland, CA</h2>
<div><div>Under close supervision, this position exists to assist the organization in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing and reporting data. This position functions both as an analyst and as a statistical analytics programmer.</div><br/>
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Essential Functions:</div><br/>
<ul><li>Designs and enhances databases</li></ul><br/>
<ul><li>Designs menu systems that are effective and user-friendly</li></ul><br/>
<ul><li>Develops reports with accurate, easy to read, useful information</li></ul><br/>
<ul><li>Designs and generates tracking and monitoring tools</li></ul><br/>
<ul><li>Participates in the development of outcomes and process measures, including technical specifications, to enable population measurement, guideline implementation, and evaluation</li></ul><br/>
<ul><li>Maintains complex statistical routines using macros, vendor software, and software written by self and others</li></ul><br/>
<ul><li>Tests and maintains data integrity</li></ul><br/>
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Additional Information:</b></div><div>
This data analyst will be part of a team that focuses on the determinants of chronic disease, specifically cardiovascular disease and type 2 diabetes in women, and early life determinants of obesity in children, and is expected to work closely with the Research Scientist, Program Managers, and staff. Research Topics include: 1) Early life behaviors and their influence on child obesity and metabolic health; 2) Metabolomics to predict future onset of diabetes, 3) prediction modeling of hypertension and CVD, and 4) pregnancy complications and chronic disease in women. The group utilizes life course methods and machine learning to address these themes.</div><br/>
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Basic Qualifications:</b><br/>
Experience<br/>
- Minimum one (1) year of programming in SAS, SQL, VBA; net or equivalent statistical analytical programming language.<br/>
Education<br/>
- Bachelor's degree in economics, finance, health care administration, public health administration, statistics, mathematics, operations<br/>
research, or related field required OR four (4) years of experience in a directly related field.<br/>
<ul><li>High School Diploma or General Education Development (GED) required</li></ul>
Licenses, Certifications, Registrations<br/>
- N/A.</div><br/>
<p></p><div><b>Additional Requirements:</b><br/>
- Microsoft Office skills required.<br/>
<ul><li>Strong ability to apply analytic and critical thinking skills, writing skills, communication skills, consulting skills, and ability to work</li></ul>
within a team.<br/>
<ul><li>Must be an independent self-starter</li><li>Must be able to work in a Labor/Management Partnership environment</li></ul></div><br/>
<p></p><div><b>Preferred Qualifications:</b><br/>
- Experience with analytical manipulation and interpretation of large databases.<br/>
<ul><li>Analytical consulting experience</li><li>Project management experience</li><li>Experience with MVS/TSO operating systems</li></ul></div><ul><li> Expert knowledge of SAS or R to perform data extraction and statistical analysis (including complex biostatistical modeling)</li><li> Experience creating and maintaining programs to extract data from Kaiser-s various data sources and developing cleaned analytic datasets</li></ul><p></p><br/>
PrimaryLocation : California,Oakland,2000 Broadway 2000 Broadway<br/>
HoursPerWeek : 40<br/>
Shift : Day<br/>
Workdays : Mon, Tue, Wed, Thu, Fri<br/>
WorkingHoursStart : 9:00 AM<br/>
WorkingHoursEnd : 5:30 PM<br/>
Job Schedule : Full-time<br/>
Job Type : Standard<br/>
Employee Status : Regular<br/>
Employee Group/Union Affiliation : Salaried, Non-Union, Exempt<br/>
Job Level : Individual Contributor<br/>
Job Category : Information Technology<br/>
Department : Div of Research<br/>
Travel : No<br/>
Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.<br/>
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External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances.</body>
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